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Truth or Dare: Understanding and Predicting How Users Lie and Provide Untruthful Data Online
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-1-4419-6967-5openalex-snapshot
Economics of Information Security and Privacy
inferredcites →https://doi.org/10.1007/978-3-319-47874-6_28openalex-snapshot
PPM: A Privacy Prediction Model for Online Social Networks
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/978-3-642-38908-5_19openalex-snapshot
“Fairly Truthful”: The Impact of Perceived Effort, Fairness, Relevance, and Sensitivity on Personal Data Disclosure
inferredcites →https://doi.org/10.1007/978-3-642-39498-0_9openalex-snapshot
The Privacy Economics of Voluntary Over-disclosure in Web Forms
inferredcites →https://doi.org/10.1007/s10660-013-9130-3openalex-snapshot
Price versus privacy: an experiment into the competitive advantage of collecting less personal information
inferredcites →https://doi.org/10.1007/s11002-018-9448-7openalex-snapshot
PLease do not answer if you are reading this: respondent attention in online panels
inferredcites →https://doi.org/10.1016/0047-2727(74)90003-6openalex-snapshot
The measurement of urban travel demand
inferredcites →https://doi.org/10.1016/j.chb.2004.10.012openalex-snapshot
Personalization, authentication and self-disclosure in self-administered Internet surveys
inferredcites →https://doi.org/10.1016/j.chb.2007.03.004openalex-snapshot
Would I lie to you? Self-serving lies and other-oriented lies told across different media
inferredcites →https://doi.org/10.1016/j.chb.2007.10.005openalex-snapshot
Measuring self-disclosure online: Blurring and non-response to sensitive items in web-based surveys
inferredcites →https://doi.org/10.1016/j.ijhcs.2013.06.003openalex-snapshot
Dimensionality of information disclosure behavior
inferredcites →https://doi.org/10.1016/j.im.2018.11.004openalex-snapshot
Falsifying and withholding: exploring individuals’ contextual privacy-related decision-making
inferredcites →https://doi.org/10.1016/j.jisa.2014.09.005openalex-snapshot
Advanced social engineering attacks
inferredcites →https://doi.org/10.1016/j.paid.2012.03.035openalex-snapshot
Measuring personality traits with ultra-short scales: A study of the Ten Item Personality Inventory (TIPI) in a Spanish sample
inferredcites →https://doi.org/10.1016/j.techsoc.2010.07.001openalex-snapshot
An overview of social engineering malware: Trends, tactics, and implications
inferredcites →https://doi.org/10.1080/01449290600961910openalex-snapshot
Factors affecting members' trust belief and behaviour intention in virtual communities
inferredcites →https://doi.org/10.1080/0144929x.2019.1667440openalex-snapshot
User misrepresentation in online social networks: how competition and altruism impact online disclosure behaviours
inferredcites →https://doi.org/10.1080/03623319.2023.2232223openalex-snapshot
Privacy in context: Technology, policy, and the integrity of social life
inferredcites →https://doi.org/10.1080/07370020903586662openalex-snapshot
Privacy, Trust, and Self-Disclosure Online
inferredcites →https://doi.org/10.1086/656423openalex-snapshot
Strangers on a Plane: Context-Dependent Willingness to Divulge Sensitive Information
inferredcites →https://doi.org/10.1109/cvpr.2001.990455openalex-snapshot
Efficient evaluation of classification and recognition systems
inferredcites →https://doi.org/10.1111/j.1467-985x.2010.00646_6.xopenalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1111/j.1745-6606.2006.00070.xopenalex-snapshot
The Privacy Paradox: Personal Information Disclosure Intentions versus Behaviors
inferredcites →https://doi.org/10.1111/j.1745-6606.2009.01147.xopenalex-snapshot
Consumers' Rules of Engagement in Online Information Exchanges
inferredcites →https://doi.org/10.1126/science.aaa1465openalex-snapshot
Privacy and human behavior in the age of information
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/1054972.1054985openalex-snapshot
Location disclosure to social relations
inferredcites →https://doi.org/10.1145/1864349.1864364openalex-snapshot
Empirical models of privacy in location sharing
inferredcites →https://doi.org/10.1145/3025453.3025698openalex-snapshot
Towards Understanding Differential Privacy
inferredcites →https://doi.org/10.1145/3313831.3376150openalex-snapshot
Evaluating 'Prefer not to say' Around Sensitive Disclosures
inferredcites →https://doi.org/10.1145/3313831.3376854openalex-snapshot
Online Privacy Heuristics that Predict Information Disclosure
inferredcites →https://doi.org/10.1145/765891.765952openalex-snapshot
Who wants to know what when? privacy preference determinants in ubiquitous computing
inferredcites →https://doi.org/10.11613/bm.2012.031openalex-snapshot
Interrater reliability: the kappa statistic
inferredcites →https://doi.org/10.1177/0894439317752406openalex-snapshot
Straightlining: Overview of Measurement, Comparison of Indicators, and Effects in Mail–Web Mixed-Mode Surveys
inferredcites →https://doi.org/10.1207/s15327906mbr2603_7openalex-snapshot
How Many Subjects Does It Take To Do A Regression Analysis
inferredcites →https://doi.org/10.1287/isre.1040.0032openalex-snapshot
Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model
inferredcites →https://doi.org/10.2307/25148854openalex-snapshot
Internet Users’ Information Privacy-Protective Responses: A Taxonomy and a Nomological MODEL1
inferredcites →https://doi.org/10.25080/majora-92bf1922-011openalex-snapshot
Statsmodels: Econometric and Statistical Modeling with Python
inferredcites →https://doi.org/10.3758/s13428-011-0124-6openalex-snapshot
Conducting behavioral research on Amazon’s Mechanical Turk
inferredcites →https://doi.org/10.3758/s13428-013-0434-yopenalex-snapshot
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
inferredcites →https://doi.org/10.3758/s13428-015-0578-zopenalex-snapshot
Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants
inferredcites →https://doi.org/10.48550/arxiv.1206.2944openalex-snapshot
Practical Bayesian Optimization of Machine Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.1809.04103openalex-snapshot
Usable Differential Privacy: A Case Study with PSI
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4138757openalex-extracted
Recommender Systems under Privacy Protection
inferred← citeshttps://doi.org/10.1007/978-3-030-82786-1_2openalex-snapshot
Privacy Theories and Frameworks
inferred← citeshttps://doi.org/10.1007/978-3-032-23341-7_18openalex-snapshot
Cultural Dimensions of Privacy Behaviours in Smart Speakers: A Systematic Review
inferred← citeshttps://doi.org/10.1007/978-981-97-5101-3_8openalex-snapshot
Understanding Privacy in Smart Speakers: A Narrative Review
inferred← citeshttps://doi.org/10.1007/s10458-021-09543-5openalex-snapshot
An explainable assistant for multiuser privacy
inferred← citeshttps://doi.org/10.1109/ismar59233.2023.00083openalex-snapshot
Detecting Teacher Expertise in an Immersive VR Classroom: Leveraging Fused Sensor Data with Explainable Machine Learning Models
inferred← citeshttps://doi.org/10.1145/3555546openalex-snapshot
Intersectional Experiences of Unfair Treatment Caused by Automated Computational Systems
inferred← citeshttps://doi.org/10.1145/3584318.3584323openalex-snapshot
From Utility to Capability: A New Paradigm to Conceptualize and Develop Inclusive PETs
inferred← citeshttps://doi.org/10.1145/3613904.3642180openalex-snapshot
"I know even if you don't tell me": Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization
inferred← citeshttps://doi.org/10.1609/aaai.v36i9.21241openalex-snapshot
Local Differential Privacy for Belief Functions
inferred← citeshttps://doi.org/10.2478/bsaft-2023-0012openalex-snapshot
Algorithmic Accuracy in Context: Assessing the Impact of Financially Motivated Dishonesty
inferred← citeshttps://doi.org/10.53846/goediss-10852openalex-snapshot
Privacy-Decision Assisting Techniques
inferred← citeshttps://doi.org/10.61866/aboeel.v2i1.29openalex-snapshot
Does the face expression recognition model under the online entrepreneurial education model important for deep learning technologies and entrepreneurial emotions?
inferred← citeshttps://doi.org/10.62019/abbssr.v3i1.31openalex-snapshot
Does the face expression recognition model under the online entrepreneurial education model important for deep learning technologies and entrepreneurial emotions?
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